code: def test_leaky_rectlin_derivative_mixed(backend_default):
      slope = 0.2
      inputs = np.array([[4, 0], [-2, 9]])
      outputs = np.array([[1, 0], [slope, 1]])
      compare_tensors(
          Rectlin(slope=slope), inputs, outputs, deriv=True, tol=1e-7
      )
  
imports: from math import tanh
  import numpy
  from neon import NervanaObject
  from neon.transforms import Identity, Rectlin, Softmax, Tanh, Logistic, Sign, PixelwiseSoftmax
  from utils import allclose_with_out
label_desc: Use image node_id 15 for calling a global function with example usage: test_leaky_rectlin_derivative_mixed(backend_default) without return types